Senior Full Stack Software Engineer, ML Data Platform

We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

About The Team

The ML Data Shop team is responsible for building the data platform for Cruise AI, where we build the platform to efficiently search for long tail and impactful on-road scenarios to improve our autonomous vehicles. Our work powers data discovery, labeling and featurization that can reliably scale to serve the petabyte-scale data requirements of Perception and Behavior models. Engineers on this team support self-serving data mining, featurization and labeling platforms which serve as a critical drive to improve the AV stack performance.

About The Role

The ML Data Shop team is looking for a Senior Full-Stack Software Engineer to design and implement platforms that support data labeling to accelerate the AV model development.

What You’ll Be Doing

1. Use the latest web technologies to design, implement, and test scalable and performant data systems and interfaces. Champion engineering excellence by continuously improving systems and processes.
2. Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency.
3. Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems.
4. Own technical projects from start to finish. Effectively participate in team’s planning, code reviews and design discussions.
5. Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements.

What we are looking for:

1. Passion for self-driving technology and its impact.
2. Drive for learning new technologies and expanding technical skill set.
3. Experience and proficiency shipping products end-to-end.
4. Technical communication/collaboration skills: technical writing.
5. Demonstrated ability to empathize with customer problems and deliver creative product solutions.

Technical Requirements

1. BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
2. 4+ years building web applications (UX and web dev).
3. Experience writing high quality, scalable and performant code in TypeScript, React, Redux, WebGL (or similar).
4. Experience writing production quality code in Golang or Python (or similar) (not hard req).
5. Experience with A/B testing frameworks and telemetry systems.
6. Experience working with web interfaces using large amounts of data using Service Workers, Cache Storage, IndexedDB (or similar).
7. Strong understanding relational databases, data modeling, and API definition.
8. Strong computer science fundamentals in object oriented programming, data structures, algorithm design, best practices, and complexity analysis.

Bonus points!

1. Experience building data visualization products and supporting libraries such as three.js, d3, WebGL.
2. Experience working on computer vision, machine learning or related projects from ideation to completion (labeling).
3. Experience working on projects using data centric AI, active learning techniques.
4. Experience with autonomous vehicle technology.
5. Experience building tools that are core to a machine learning engineer’s daily work.
6. Experience working closely with product managers, designers, and user experience researchers.
7. Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. PostgreSQL, BigQuery, BigTable).
8. Experience deploying on the cloud with Kubernetes (or similar), experience with Google Cloud, AWS, Azure, or similar.

Salary and Benefits

The salary range for this position is $130,900 - $192,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

Why Cruise?

Our Benefits Are Here To Support The Whole You

1. Competitive salary and benefits.
2. Medical / dental / vision, Life and AD&D.
3. Subsidized mental health benefits.
4. Paid time off and holidays.
5. Paid parental, medical, family care, and military leave of absence.
6. 401(k) Cruise matching program.
7. Fertility benefits.
8. Dependent Care Flexible Spending Account.
9. Flexible Spending Account & Health Saving Account.
10. Perks Wallet program for benefits/perks.
11. Pre-tax Commuter benefit plan for local employees.
12. CruiseFlex, our location-flexible work policy.

We’re Integrated

1. Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded

1. GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.

Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email

We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.

Candidates applying for roles that operate and remotely operate the AV:

Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.

Note to Recruitment Agencies:

Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.